Dealing with Measurement Uncertainties as Nuisance Parameters in Bayesian Model Calibration | Zendy

Kellin Rumsey | Zendy; Gabriel Huerta | Zendy; Justin Brown | Zendy; Lauren Hund | Zendy

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Dealing with Measurement Uncertainties as Nuisance Parameters in Bayesian Model Calibration

Author(s) -

Kellin Rumsey,

Gabriel Huerta,

Justin Brown,

Lauren Hund

Publication year - 2020

Publication title -

siam/asa journal on uncertainty quantification

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 1.094

H-Index - 29

ISSN - 2166-2525

DOI - 10.1137/19m1283707

Subject(s) - overfitting , prior probability , calibration , bayesian probability , regularization (linguistics) , computer science , nuisance , moment (physics) , shrinkage , econometrics , artificial intelligence , statistics , machine learning , mathematics , political science , classical mechanics , artificial neural network , law , physics

In the presence of model discrepancy, the calibration of physics-based models for physical parameter inference is a challenging problem. Lack of identifiability between calibration parameters and m...

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